Automated Time-series Outlier Detection System (TODS). It is a collection of 5 synthetically generated multivariate datasets. The dataset was generated using the source code from [1]}, therefore producing different types of anomalies following the taxonomy of [1]}. The dimension of the generated time-series is 10. Training datasets contain only normal values, while testing datasets incorporate 5 different types of anomalies. The annotation of the outlier types is provided, therefore allowing a per-type analysis.
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